Example notes

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/home/turth/Documents/zet

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notes/example.org Normal file
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#+TITLE: Example Notes
#+AUTHOR: Org Web Adapter Stuff
* Today
- Build a tiny server to browse Org files.
- Make sure it works on mobile.
* Ideas
** Reader Mode
Show a clean layout with headings and content.
** Next Step
Add editing endpoints and save-back support.
Related list: [[file:to_watch.org][To Watch]]
Related by ID: [[id:f2db82e0-c545-40fe-9458-55f8fe1bcb4b][To Watch (ID)]]
* Scratch
This paragraph demonstrates normal text.
A second line stays as plain text for now.

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0101
:END:
#+TITLE: Foundations
#+CREATED: [2026-02-01 Sun 09:00]
* Foundations
This note introduces the set.
Math: $a^2 + b^2 = c^2$.
Links:
- [[file:example_02_calculus.org][Calculus Basics]]
- [[file:example_03_linear_algebra.org][Linear Algebra]]
- [[id:2e8a8baf-7a15-4e6f-97d2-7f93e73e0112][Review Checklist]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0102
:END:
#+TITLE: Calculus Basics
#+CREATED: [2026-02-01 Sun 09:20]
* Calculus Basics
Math: $\frac{d}{dx}x^n = nx^{n-1}$.
Links:
- [[file:example_04_series.org][Series and Convergence]]
- [[file:example_08_probability.org][Probability]]
- [[file:example_01_foundations.org][Foundations]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0103
:END:
#+TITLE: Linear Algebra
#+CREATED: [2026-02-01 Sun 09:40]
* Linear Algebra
Math: $A\vec{x}=\vec{b}$ and $\det(A) \neq 0$.
Links:
- [[file:example_05_eigenvalues.org][Eigenvalues]]
- [[file:example_09_graphs.org][Graph Models]]
- [[id:2e8a8baf-7a15-4e6f-97d2-7f93e73e0101][Foundations by ID]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0104
:END:
#+TITLE: Series and Convergence
#+CREATED: [2026-02-01 Sun 10:00]
* Series and Convergence
Math: $\sum_{k=0}^{\infty} r^k = \frac{1}{1-r}$ for $|r|<1$.
Links:
- [[file:example_02_calculus.org][Calculus Basics]]
- [[file:example_06_optimization.org][Optimization]]
- [[file:example_10_physics_notes.org][Physics Notes]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0105
:END:
#+TITLE: Eigenvalues
#+CREATED: [2026-02-01 Sun 10:20]
* Eigenvalues
Math: $A\vec{v}=\lambda\vec{v}$.
Links:
- [[file:example_03_linear_algebra.org][Linear Algebra]]
- [[file:example_06_optimization.org][Optimization]]
- [[file:example_11_machine_learning.org][Machine Learning]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0106
:END:
#+TITLE: Optimization
#+CREATED: [2026-02-01 Sun 10:40]
* Optimization
Math: $\nabla f(x)=0$ at critical points.
Links:
- [[file:example_05_eigenvalues.org][Eigenvalues]]
- [[file:example_11_machine_learning.org][Machine Learning]]
- [[file:example_12_review_checklist.org][Review Checklist]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0107
:END:
#+TITLE: Number Theory
#+CREATED: [2026-02-01 Sun 11:00]
* Number Theory
Math: $\gcd(a,b)$ and $a \equiv b \pmod n$.
Links:
- [[file:example_01_foundations.org][Foundations]]
- [[file:example_08_probability.org][Probability]]
- [[file:example_09_graphs.org][Graph Models]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0108
:END:
#+TITLE: Probability
#+CREATED: [2026-02-01 Sun 11:20]
* Probability
Math: $P(A \mid B)=\frac{P(A\cap B)}{P(B)}$.
Links:
- [[file:example_10_physics_notes.org][Physics Notes]]
- [[file:example_11_machine_learning.org][Machine Learning]]
- [[id:2e8a8baf-7a15-4e6f-97d2-7f93e73e0107][Number Theory by ID]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0109
:END:
#+TITLE: Graph Models
#+CREATED: [2026-02-01 Sun 11:40]
* Graph Models
Math: $|E| \leq \binom{|V|}{2}$ for simple undirected graphs.
Links:
- [[file:example_03_linear_algebra.org][Linear Algebra]]
- [[file:example_12_review_checklist.org][Review Checklist]]
- [[file:example_08_probability.org][Probability]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0110
:END:
#+TITLE: Physics Notes
#+CREATED: [2026-02-01 Sun 12:00]
* Physics Notes
Math: $F=ma$ and $E=mc^2$.
Links:
- [[file:example_04_series.org][Series and Convergence]]
- [[file:example_08_probability.org][Probability]]
- [[file:example_11_machine_learning.org][Machine Learning]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0111
:END:
#+TITLE: Machine Learning
#+CREATED: [2026-02-01 Sun 12:20]
* Machine Learning
Math: $\hat{y}=\sigma(\mathbf{w}^T\mathbf{x}+b)$.
Links:
- [[file:example_06_optimization.org][Optimization]]
- [[file:example_05_eigenvalues.org][Eigenvalues]]
- [[file:example_12_review_checklist.org][Review Checklist]]

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:PROPERTIES:
:ID: 2e8a8baf-7a15-4e6f-97d2-7f93e73e0112
:END:
#+TITLE: Review Checklist
#+CREATED: [2026-02-01 Sun 12:40]
* Review Checklist
Math: $\int_0^1 x^2\,dx = \frac{1}{3}$.
Links:
- [[file:example_01_foundations.org][Foundations]]
- [[file:example_09_graphs.org][Graph Models]]
- [[id:2e8a8baf-7a15-4e6f-97d2-7f93e73e0111][Machine Learning by ID]]